Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26199
Title: Alleviating 'overfitting' via genetically-regularised neural network
Authors: Chan, ZSH
Ngan, HW
Rad, AB
Ho, TK
Issue Date: 2002
Publisher: IEE-Inst Elec Eng
Source: Electronics letters, 2002, v. 38, no. 15, p. 809-810 How to cite?
Journal: Electronics Letters 
Abstract: A hybrid genetic algorithm/scaled conjugate gradient regularisation method is designed to alleviate ANN 'over-fitting'. In application to day-ahead load forecasting, the proposed algorithm performs better than early-stopping and Bayesian regularisation, showing promising initial results.
URI: http://hdl.handle.net/10397/26199
ISSN: 0013-5194
DOI: 10.1049/el:20020592
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